Abstract
In-memory computing can trade computational accuracy for power saving. We consider the implementation of a nonlinear demapper for coherent optical transceivers and use Lipschitz constraints to increase robustness against device variations. Offline experiments demonstrate that for 64QAM we can recover the performance of a digital implementation.
© 2022 The Author(s)
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